Job Description
Job Description
Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason : everyone can be curious.
At Perplexity, evaluation is one of the hardest and most critical parts of building state-of-the-art AI. Each trained model and agentic workflow is matched by a rigorous effort to evaluate its performance in the real world, ensuring dependable and measurable impact.
We're building a dedicated team to design the frameworks, interfaces, and systems that will become the backbone of how Perplexity measures and improves AI quality. This team creates tools that directly multiply the productivity of our researchers and ML engineers. You'll work hand-in-hand cross-functionally with AI researchers, ML engineers, and product managers to understand their workflows and deliver solutions that power every stage of our AI development pipeline.
Tech Stack : NextJS | TypeScript | Python | Postgres | Docker | AWS
Responsibilities
Qualifications
Bonus
The cash compensation range for this role is $200,000 - $270,000.
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity : In addition to the base salary, equity may be part of the total compensation package.
Benefits : Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
Engineer Ai Platform • San Francisco, CA, US